Building bridges from genome to physiology using machine learning and Drosophila experimental evolution
J. N. Kezos, T. T. Barter, L. Cabral, M. A. Phillips, G. Azatian, J. E. Buenrostro, P. S. Bhangoo, A. Khong, G. T. Reyes, A. Rahman, L. A. Humphrey, T. J. Bradley, L. D. Mueller, M. R. Rose
The paper uses machine learning and Drosophila experimental evolution to identify genomic regions causally linked to physiological traits.
bioRxiv · Jul 18, 2022Physiology